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mTOR complex 1 regulates lipin 1 localization to control the SREBP pathway.

Cell | 2011

The nutrient- and growth factor-responsive kinase mTOR complex 1 (mTORC1) regulates many processes that control growth, including protein synthesis, autophagy, and lipogenesis. Through unknown mechanisms, mTORC1 promotes the function of SREBP, a master regulator of lipo- and sterolgenic gene transcription. Here, we demonstrate that mTORC1 regulates SREBP by controlling the nuclear entry of lipin 1, a phosphatidic acid phosphatase. Dephosphorylated, nuclear, catalytically active lipin 1 promotes nuclear remodeling and mediates the effects of mTORC1 on SREBP target gene, SREBP promoter activity, and nuclear SREBP protein abundance. Inhibition of mTORC1 in the liver significantly impairs SREBP function and makes mice resistant, in a lipin 1-dependent fashion, to the hepatic steatosis and hypercholesterolemia induced by a high-fat and -cholesterol diet. These findings establish lipin 1 as a key component of the mTORC1-SREBP pathway.

Pubmed ID: 21816276 RIS Download

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: R01 CA103866
  • Agency: NCI NIH HHS, United States
    Id: R01 CA103866-09
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM089652-01
  • Agency: Howard Hughes Medical Institute, United States
  • Agency: NIAID NIH HHS, United States
    Id: R01 AI47389
  • Agency: NIDDK NIH HHS, United States
    Id: R01 DK078187
  • Agency: NCI NIH HHS, United States
    Id: R01 CA103866-08
  • Agency: NCI NIH HHS, United States
    Id: R01 CA129105
  • Agency: NCI NIH HHS, United States
    Id: R01 CA129105-04
  • Agency: NCI NIH HHS, United States
    Id: R01 CA129105-05
  • Agency: NIAID NIH HHS, United States
    Id: R37 AI047389
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM089652

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CellProfiler Image Analysis Software (tool)

RRID:SCR_007358

Software tool to enable biologists without training in computer vision or programming to quantitatively measure phenotypes from thousands of images automatically. It counts cells and also measures the size, shape, intensity and texture of every cell (and every labeled subcellular compartment) in every image. It was designed for high throughput screening but can perform automated image analysis for images from time-lapse movies and low-throughput experiments. CellProfiler has an increasing number of algorithms to identify and measure properties of neuronal cell types.

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